Data Engineer
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Co-operative Bank is hiring a Data Engineer to design and maintain batch, streaming and real-time data pipelines that feed the bank's data and AI platforms. The role focuses on building reusable data products, enforcing data quality and security under the Data Protection Act, 2019, and supporting analytics, AI and smarter business decisions in Nairobi.
- Builds batch, streaming and real-time data pipelines
- Supports AI, analytics and business intelligence use cases
- Emphasizes data quality, lineage, monitoring and security
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Co-operative Bank is hiring a Data Engineer to design and maintain batch, streaming and real-time data pipelines that feed the bank's data and AI platforms. The role focuses on building reusable data products, enforcing data quality and security under the Data Protection Act, 2019, and supporting analytics, AI and smarter business decisions in Nairobi.
- Builds batch, streaming and real-time data pipelines
- Supports AI, analytics and business intelligence use cases
- Emphasizes data quality, lineage, monitoring and security
- Full-time role based in Nairobi, Kenya
- Requires collaboration with cross-functional teams and CI/CD practices
AI job guide
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, data engineering, engineering & technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Co-operative Bank and the role in Nairobi.
- Add concrete examples related to security, data engineering, engineering & technology, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from BrighterMonday Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
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Interview preparation
- What experience makes you a strong fit for this Data Engineer role in security, data engineering?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Co-operative Bank before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
C
Data Engineer
Co-operative Bank
Engineering & Technology
Today
New
Nairobi
Full Time
Confidential
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Language Requirement:
English
Work Type:
Full Time
Working Hours:
8 to 5
Applicant Location:
Kenya
Job descriptions & requirements
Co-operative Bank
Are you passionate about building reliable data solutions that turn complex information into meaningful business insights?
Do you have the technical expertise to engineer secure, scalable data pipelines that power Artificial Intelligence (AI), analytics and smarter decision-making?
Co-op Bank is seeking a skilled Data Engineer to join its technology team and play a key role in strengthening the Bank’s data capabilities.
This is an exciting opportunity to build the data foundations that enable AI innovation, enhance operational efficiency and deliver greater value to customers and the business.
Data Engineer
The Role
Specifically, the successful jobholder will be required to:
Design, develop, test and maintain batch, streaming and real-time data pipelines that integrate data from approved source systems into the Bank’s data and AI platforms.
Build reusable, well-structured data products and feature sets that support business intelligence, analytics, AI solutions and informed decision-making.
Implement data quality controls, reconciliation, metadata, lineage and monitoring mechanisms to ensure data accuracy, completeness, consistency and timeliness.
Apply data security, privacy, access controls, encryption and retention requirements in line with the Data Protection Act, 2019, and the Bank’s policies and standards.
Optimise data pipelines for performance, reliability, scalability and cost, ensuring effective recovery, auditability and operational resilience.
Collaborate with cross-functional teams and business data owners to translate business requirements into fit-for-purpose datasets and data solutions.
Integrate automated testing, source control and CI/CD practices into data engineering workflows, supporting deployments across development, testing and production environments.
Monitor production pipelines, troubleshoot incidents, resolve defects and maintain technical documentation and operating procedures.
Develop data ingestion and processing pipelines for unstructured data, including documents, text and voice, to support generative AI applications and technologies such as vector databases.
Skills, Competencies and Experience
The successful candidate will be required to have the following skills and competencies:
A bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics or a related field.
At least four (4) years of relevant experience in data engineering, ETL/ELT development, database engineering or big-data implementation.
Hands-on experience building and supporting production data pipelines and curated analytical datasets.
Strong proficiency in SQL and Python, Scala or comparable programming languages.
Professional certification in data engineering, cloud data platforms, databases or analytics will be an added advantage.
Experience in banking, financial services or another regulated data environment will be an added advantage.
How to Apply
If you are passionate about data engineering, thrive in collaborative technology environments and are committed to delivering secure, reliable and high-quality data solutions, we invite you to apply and be part of our journey towards the future of banking.
Forward your application letter enclosing a detailed Curriculum Vitae to [email protected], indicating the job reference number DE/IID/2026, by 9 November 2026.
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